Headquartered in Oslo, Norway, CAMO Software has global presence through our offices in the USA, Japan, India, and Australia.
Founded in 1984, CAMO Software is a recognized leader in Multivariate Data Analysis and Process Monitoring software. More than 25,000 people in 3000 organizations rely on The Unscrambler® X software range for its ease of use, powerful multivariate methods, and outstanding data visualization tools. It lets them explore and understand complex data, improve process or equipment monitoring, and build better predictive models. Our powerful analytical solutions are used in the life sciences, manufacturing, energy, resources and technology sectors, enabling organizations to reduce R&D costs, improve process and product quality, and make more informed decisions through deeper data insights.
Headquartered in Oslo, Norway, CAMO Software has global presence through our offices in the USA, Japan, India, and Australia.
CAMO Software
Gaustadalleen 21, 0349 Oslo, Norway
TELEPHONE
47 22396300
FAX
47 22396322
E-MAILinfo@camo.com
WEB SITEwww.camo.com
NUMBER OF EMPLOYEES
USA: 5
Elsewhere: 40
YEAR FOUNDED
1984
Get essential updates on the latest spectroscopy technologies, regulatory standards, and best practices—subscribe today to Spectroscopy.
Rapid Sweetener Detection Achieved Through Raman Spectroscopy and Machine Learning
July 10th 2025Researchers at Heilongjiang University have developed a rapid and accurate method for detecting sweeteners in food using Raman spectroscopy combined with a Random Forest machine learning algorithm, offering a powerful tool for improving food safety.
PNNL and BaySpec Launch Compact Mass Spectrometry System for Rapid Narcotics Detection
July 8th 2025The U.S. Department of Energy’s Pacific Northwest National Laboratory’s (PNNL) VaporID, which is a newly developed portable air sampling system incorporating a miniaturized mass spectrometer (MS), can detect trace levels of fentanyl, methamphetamine, cocaine, and even explosives like TNT with great accuracy.
How Spectroscopy Drones Are Detecting Hidden Crop Threats in China’s Soybean Fields
July 8th 2025Researchers in Northeast China have demonstrated a new approach using drone-mounted multispectral imaging to monitor and predict soybean bacterial blight disease, offering a promising tool for early detection and yield protection.